<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>resourcefully-dev.r-universe.dev</title><link>https://resourcefully-dev.r-universe.dev</link><description>Recent package updates in resourcefully-dev</description><generator>R-universe</generator><image><url>https://github.com/resourcefully-dev.png</url><title>R packages by resourcefully-dev</title><link>https://resourcefully-dev.r-universe.dev</link></image><lastBuildDate>Wed, 03 Jun 2026 13:03:33 GMT</lastBuildDate><item><title>[resourcefully-dev] timefully 0.1.1</title><author>marccanyigueral@gmail.com (Marc Cañigueral)</author><description>Manage time-series data frames across time zones,
resolutions, and date ranges, while filling gaps using
weekday/hour patterns or simple fill helpers or plotting them
interactively. It is designed to work seamlessly with the
tidyverse and dygraphs environments.</description><link>https://github.com/r-universe/resourcefully-dev/actions/runs/28650184488</link><pubDate>Wed, 03 Jun 2026 13:03:33 GMT</pubDate><r:package>timefully</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://resourcefully-dev.r-universe.dev</r:repository><r:upstream>https://github.com/resourcefully-dev/timefully</r:upstream></item><item><title>[resourcefully-dev] evprof 1.2.0</title><author>marccanyigueral@gmail.com (Marc Cañigueral)</author><description>Tools for modelling electric vehicle charging sessions
into generic groups with similar connection patterns called
&quot;user profiles&quot;, using Gaussian Mixture Models clustering. The
clustering and profiling methodology is described in Cañigueral
and Meléndez (2021, ISBN:0142-0615)
&lt;doi:10.1016/j.ijepes.2021.107195&gt;.</description><link>https://github.com/r-universe/resourcefully-dev/actions/runs/27863194355</link><pubDate>Mon, 22 Dec 2025 11:11:45 GMT</pubDate><r:package>evprof</r:package><r:version>1.2.0</r:version><r:status>success</r:status><r:repository>https://resourcefully-dev.r-universe.dev</r:repository><r:upstream>https://github.com/resourcefully-dev/evprof</r:upstream></item><item><title>[resourcefully-dev] evsim 1.7.1</title><author>marccanyigueral@gmail.com (Marc Cañigueral)</author><description>Simulation of Electric Vehicles charging sessions using
Gaussian models, together with time-series power demand
calculations.</description><link>https://github.com/r-universe/resourcefully-dev/actions/runs/27676672664</link><pubDate>Fri, 19 Dec 2025 16:37:22 GMT</pubDate><r:package>evsim</r:package><r:version>1.7.1</r:version><r:status>success</r:status><r:repository>https://resourcefully-dev.r-universe.dev</r:repository><r:upstream>https://github.com/resourcefully-dev/evsim</r:upstream></item></channel></rss>